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Autonomous AI and Autonomous Agents Market Research Report: Information By Offering (Hardware, Software, Cloud, On-premises And Services), By Technology (Machine Learning, Natural Language Processing, Context Awareness and Computer Vision), By Vertical (BFSI, Retail & Ecommerce, Telecommunications, Manufacturing, Healthcare & Life Sciences, Government & Defense, Media & Entertainment And Others) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032.


ID: MRFR/ICT/10734-HCR | 128 Pages | Author: Ankit Gupta| May 2024

Autonomous AI and Autonomous Agents Market Overview


Autonomous AI and Autonomous Agents Market Size was valued at USD 4.2 Billion in 2022. The autonomous AI and autonomous agents market industry is projected to grow from USD 6.03 Billion in 2023 to USD 110.42 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 43.80% during the forecast period (2023 - 2032). Increasing artificial intelligence (AI) and machine learning (ML) breakthroughs is the key market drivers enhancing the market growth.


Autonomous AI and Autonomous Agents


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Autonomous AI and Autonomous Agents Market Trends


Rapid advancements in AI and ML technologies is driving the market growth


The quick development of AI and ML technologies is driving the market CAGR for autonomous AI and autonomous agents. The functionality and applications of autonomous systems are being radically altered by these technological developments, opening up new prospects and opportunities in a variety of industries. Deep learning and neural network-based AI algorithms in particular have improved over time in processing and comprehending complex datasets. By making more complex judgments based on real-time input, autonomous AI systems and agents can demonstrate a higher level of autonomy and flexibility. Consider autonomous vehicles as an example. These cutting-edge algorithms can carefully examine sensor data, anticipate potential hazards, and quickly execute decisions to assure safety, thereby boosting consumer confidence and encouraging further adoption.


Additionally, improvements in AI and ML have paved the way for enhanced learning and ongoing improvement in autonomous systems. Autonomous agents can learn over time and improve their performance by using techniques like transfer learning and reinforcement learning. This is especially useful in fields like robotics and industrial automation, where systems can absorb knowledge from prior experiences, adapt to changing circumstances, and optimize their operations. Since these systems become more efficient and streamlined over time, they offer businesses strong incentives to engage in automation, which stimulates the market.


Additionally, advancements in AI and ML are enabling autonomous systems to be more customized and offer more specialized experiences. In order to provide more individualized ideas and services, virtual assistants, for instance, are now able to interpret and adapt to specific user preferences and behavioral patterns. In addition to enhancing the user experience, this higher level of personalization also fosters more user involvement, which eventually encourages increased use and acceptance of autonomous AI systems.


Additionally, advances in AI and ML are spurring innovation in autonomous AI hardware. The power and energy efficiency of specialized hardware parts, such as Graphics Processing Units (GPUs) and Application-Specific Integrated Circuits (ASICs), designed specifically to handle AI workloads, are steadily increasing. In areas like autonomous vehicles, where energy conservation and computational aptitude are essential success factors, this empowerment enables autonomous systems to carry out complex computations in real-time while preserving energy. The potential for autonomous AI and agents to revolutionize industries, improve operational efficiency, and elevate user experiences thus continues to expand with the ongoing evolution and exploration in the fields of AI and ML, solidifying their status as a significant technology in the years to come. Thus, driving the Web3 in E-Commerce & Retail market revenue.


Autonomous AI and Autonomous Agents Market Segment Insights


Autonomous AI and Autonomous Agents Offering Insights


The Autonomous AI and Autonomous Agents Market segmentation, based on offering includes hardware, software, cloud, on-premises, and services. In the global market for autonomous AI and autonomous agents, the software category led. This is because different autonomous AI agents are need more and more sophisticated software algorithms.


Autonomous AI and Autonomous Agents Technology Insights


The Autonomous AI and Autonomous Agents Market segmentation, based on technology, includes computer vision, natural language processing, machine learning, and context awareness. A sizeable portion of the market's income was created by the computer vision segment. One of the main development drivers is the expanding usage of computer vision in various sectors. To improve automation, quality control, and safety, industries including manufacturing, healthcare, retail, and autonomous cars are incorporating computer vision technology.


Figure 1: Autonomous AI and Autonomous Agents Market, by Distribution channel, 2022 & 2032 (USD Billion)


Autonomous AI and Autonomous Agents Market, by Distribution channel, 2022 & 2032


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Autonomous AI and Autonomous Agents Vertical Insights


The Autonomous AI and Autonomous Agents Market segmentation, based on vertical, includes BFSI, e-commerce and retail, telecommunications, manufacturing, health and life sciences, government and defense, media and entertainment, and other industries. In 2022, the BFSI category dominated the market. This is because consumers are demanding more individualized financial services. By examining unique financial profiles, tastes, and habits, AI-driven autonomous agents can provide individualized recommendations and offers.


Autonomous AI and Autonomous Agents Regional Insights


By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America autonomous AI and autonomous agents market dominated this market in 2022 (45.80%). This is due to the region's increasing desire for automation, better customer service, and superior data analytics. Additionally, the availability of talent pools and tech hubs in this area is anticipated to boost market expansion. Further, the U.S. autonomous AI and autonomous agents market held the largest market share, and the Canada autonomous AI and autonomous agents market was the fastest growing market in the North America region.


Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 2: AUTONOMOUS AI AND AUTONOMOUS AGENTS MARKET SHARE BY REGION 2022 (USD Billion)


AUTONOMOUS AI AND AUTONOMOUS AGENTS MARKET SHARE BY REGION 2022


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Europe autonomous AI and autonomous agents market accounts for the second-largest market share. This is because artificial intelligence and machine learning research and development are receiving more attention. Further, the German autonomous AI and autonomous agents market held the largest market share, and the UK autonomous AI and autonomous agents market was the fastest growing market in the European region


The Asia-Pacific autonomous AI and autonomous agents market is expected to grow at the fastest CAGR from 2023 to 2032. This is a result of the area's quick economic expansion and urbanization. Moreover, China’s autonomous AI and autonomous agents market held the largest market share, and the Indian autonomous AI and autonomous agents market was the fastest growing market in the Asia-Pacific region.


Autonomous AI and Autonomous Agents Key Market Players & Competitive Insights


Leading market players are investing heavily in research and development in order to expand their product lines, which will help the Autonomous AI and Autonomous Agents market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, autonomous AI and autonomous agents industry must offer cost-effective items.


Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global autonomous AI and autonomous agents industry to benefit clients and increase the market sector. In recent years, the autonomous AI and autonomous agents industry has offered some of the most significant advantages to medicine. Major players in the autonomous AI and autonomous agents market, including OneTrust (US), TrustArc (US), Securiti (US), BigID (US), Exterro (US), SAP (Germany), IBM (US), Collibra (US), DataGuard (Germany), LogicGate (US), Truyo (US), Segment (US), Spirion (US), Didomi (France), SureCloud (UK), DataGrail (US), Egnyte (US), WireWheel (US), Data Privacy Manager (UK), SAI360 (US), Straits Interactive (Singapore), Corporater (Norway), Transcend (US), Ketch (US), Secuvy (US), Clarip (US), DPOrganizer (UK), MineOS (Israel), Osano (Ireland), PrivacyEngine (Ireland), and others, are attempting to increase market demand by investing in research and development operations.


SAP is committed to enabling all businesses and sectors to transition into networks of smart, sustainable businesses. To manage fully integrated, AI-driven business processes within the cloud environment, this entails bringing together the required solutions, technology, and best practices. On April 1, 1972, SAP, with its corporate headquarters in Walldorf, Germany, was founded. As of June 30, 2023, the corporation, which is publicly traded on the Frankfurt and New York stock exchanges, employed 105,328 people worldwide throughout its facilities in around 156 different nationalities. SAP's continual top ranking as the #1 software company in the Dow Jones Sustainability Index, a tribute to its ongoing devotion over 16 years, serves as an example of its steadfast commitment to sustainability.


As a market pioneer in the data privacy space, TrustArc excels at speeding up and automating the creation of complete privacy management programs for multinational corporations. To negotiate the developing landscape of privacy requirements inside the continuously changing digital sphere, TrustArc offers a unique combination of a completely automated platform and a deep level of privacy experience. TrustArc helps clients globally in demonstrating compliance, reducing risks, and promoting trust. Its headquarters are in San Francisco, and it is supported by a global staff located in the Americas, Europe, and Asia.


Key Companies in the Autonomous AI and Autonomous Agents market include



Autonomous AI and Autonomous Agents Industry Developments


August 2023: EON Reality unveiled Auto-GPT, a cutting-edge AI technology. By developing ChatGPT into a stand-alone virtual assistant, this ground-breaking program raises the potential of ChatGPT and expands the capabilities of AI.


Autonomous AI and Autonomous Agents Market Segmentation


Autonomous AI and Autonomous Agents Offering Outlook




  • Hardware




  • Software




  • Cloud




  • On-premises




  • Services





Autonomous AI and Autonomous Agents Technology Outlook




  • Machine Learning




  • Natural Language Processing




  • Context Awareness




  • Computer Vision




Autonomous AI and Autonomous Agents Vertical Outlook




  • BFSI




  • Retail and Ecommerce




  • Telecommunications




  • Manufacturing




  • Healthcare and Life Sciences




  • Government & Defense




  • Media & Entertainment




  • Others




Autonomous AI and Autonomous Agents Regional Outlook




  • North America






  • U.S.




  • Canada






  • Europe






  • Germany




  • France




  • UK




  • Italy




  • Spain




  • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





Report Attribute/Metric Details
Market Size 2022 USD 4.2 Billion
Market Size 2023 USD 6.03 Billion
Market Size 2032 USD 110.42 Billion
Compound Annual Growth Rate (CAGR) 43.80% (2023-2032)
Base Year 2022
Market Forecast Period 2023-2032
Historical Data 2018- 2022
Market Forecast Units Value (USD Billion)
Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered Offering, Technology, Vertical and Region
Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled OneTrust (US), TrustArc (US), Securiti (US), BigID (US), Exterro (US), SAP (Germany), IBM (US), Collibra (US), DataGuard (Germany), LogicGate (US), Truyo (US), Segment (US), Spirion (US), Didomi (France), SureCloud (UK), DataGrail (US), Egnyte (US), WireWheel (US), Data Privacy Manager (UK), SAI360 (US), Straits Interactive (Singapore), Corporater (Norway), Transcend (US), Ketch (US), Secuvy (US), Clarip (US), DPOrganizer (UK), MineOS (Israel), Osano (Ireland), and PrivacyEngine (Ireland)
Key Market Opportunities Development and deployment of autonomous vehicles
Key Market Dynamics Growing demand for automation


Frequently Asked Questions (FAQ) :

The Autonomous AI and Autonomous Agents Market size was valued at USD 9.1 Billion in 2022.

The global market is projected to grow at a CAGR of 14.50% during the forecast period, 2023-2032.

North America had the largest share in the global market

The key players in the market are Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), and SiMa.ai (US).

The software category dominated the market in 2022.

The numeric data type had the largest share in the global market.

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